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Data Scientist

Pay
$100,000–130,000/yearLocation-specific pay — pay source
**For eligible Boot Barn Partners PAY RANGE: $100,000.00 - $130,000.00/yr* *compensation varies based on geography, skills, experience, and tenure
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Employer’s visa record
3 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll bring

All qualifications

Core experience

  • Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 11 paid holidays in addition to PTO.
  • Ability to read, count and write to accurately complete all documentation and reports.
  • 3+ years of hands-on data science experience; proven track record in developing and deploying ML models.
  • 401(k) plan with generous company matching.
  • Demonstrated ability to independently solve complex problems, navigate data limitations, and develop creative, practical solutions in evolving data environments.
Qualification wording
Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
11 paid holidays in addition to PTO.
Ability to read, count and write to accurately complete all documentation and reports.
3+ years of hands-on data science experience; proven track record in developing and deploying ML models.
401(k) plan with generous company matching.
Demonstrated ability to independently solve complex problems, navigate data limitations, and develop creative, practical solutions in evolving data environments.
Education & alternatives
Qualifications - Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. - 3+ years of hands-on data science experience; proven track record in developing and deploying ML models.
Apply at Boot Barn

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 14, 2026today
Recorded sightings
2
Last seen by us
Nov 15, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$100K–$130K against $118K–$195K, the middle half of what similar US postings state.

From 3,828 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 8 and day 60.

From 11,873 similar postings that came down. Coming down is not always a hire.

Boot Barn is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Docker
  • Kubernetes
  • NumPy
  • pandas
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance. - Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow. - Work with large, complex datasets from multiple sources, including structured and unstructured data, to identify data quality issues, develop reliable datasets, and support modeling efforts.
- Demonstrated ability to independently solve complex problems, navigate data limitations, and develop creative, practical solutions in evolving data environments. - Strong expertise in SQL, Python and core ML frameworks - Experience with generative AI, LLMs, and emerging AI technologies
- Experience with generative AI, LLMs, and emerging AI technologies - Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools. - Strong collaboration skills, with experience working closely with engineering and product teams.

Your next step

Complete your application on myjobs.adp.com. The employer’s form will show what is required.

Already applied? Track this application

About Boot Barn

People
About 3,382 in 2025.Benefit plan filings (Form 5500)
Company
Listed as BOOT.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

DATA SCIENTIST

REPORTS TO: DIRECTOR OF DATA SCIENCE

STATUS: EXEMPT

 

Summary

Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up, listen intently, and implement out-of-the-box ideas.  We celebrate new innovations, congratulate one another’s achievements, and most importantly support each other.

 

At Boot Barn, we work together to make a positive impact on the world around us, and by working collectively with encouragement, we consider ourselves “Partners.” With the values of the West guiding us, Boot Barn celebrates heritage, welcomes all, and values each unique Partner within our Boot Barn community.

 

Our vision is to offer everyone a piece of the American spirit – one handshake at a time. 

 

The Data Scientist will play a critical role in building the foundation of Data Science & Insights team, with a focus on developing predictive models, applying advanced analytics, and supporting AI-driven solutions to solve complex business challenges. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.

 

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.

 

Essential Duties and Responsibilities

  • Design, build, and deploy predictive models to address high-impact business applications such as personalization, forecasting, store performance, churn prediction, and conversational agents.
  • Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
  • Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
  • Work with large, complex datasets from multiple sources, including structured and unstructured data, to identify data quality issues, develop reliable datasets, and support modeling efforts.
  • Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
  • Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
  • Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact opportunities.
  • Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
  • Translate ambiguous business questions into analytical approaches and communicate complex model results into clear, actionable recommendations for technical and non-technical audiences.
  • Demonstrates high level of quality work, attendance and appearance.
  • Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
  • Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
  • Performs any other duties that may be assigned by management.

Qualifications

Qualifications

  • Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 3+ years of hands-on data science experience; proven track record in developing and deploying ML models.
  • Demonstrated ability to independently solve complex problems, navigate data limitations, and develop creative, practical solutions in evolving data environments.
  • Strong expertise in SQL, Python and core ML frameworks
  • Experience with generative AI, LLMs, and emerging AI technologies
  • Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
  • Strong collaboration skills, with experience working closely with engineering and product teams.
  • Retail and/or e-commerce experience preferred.

Competencies

  • Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
  • Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.

Boot Barn Benefits & Additional Compensation Opportunities

  • Competitive salary.
  • Annual bonus opportunity of 5%, with potential for additional earnings based on performance and established criteria.
  • Two weeks of Paid Time Off + sick time for year-round Boot Barn Partners*
  • 11 paid holidays in addition to PTO.
  • Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
  • Medical, Dental, Vision and Life Insurance.**
  • 401(k) plan with generous company matching.
  • Flexible schedules and work/life balance.
  • Opportunities for growth at every level – we are opening 50+ new stores each year.

**For eligible Boot Barn Partners

PAY RANGE: $100,000.00 - $130,000.00/yr*

*compensation varies based on geography, skills, experience, and tenure


Physical Demands

In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job.  Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.

  • Standing, walking and squatting less than fifty percent of the work shift.
  • Required to lift, move and carry up to 40 pounds.
  • Ability to read, count and write to accurately complete all documentation and reports.
  • Must be able to see, hear and speak in order to communicate with partners and customers.
  • Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.
  • Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.

[    ] Sedentary: Limited activity, no lifting, limited walking

[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking

[    ] Moderate: Mostly standing, walking, bending, frequent lifting

[    ] Arduous: Heavy lifting, bending, crawling, climbing

 

Work Environment

In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job.  Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.

  • The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.
  • Noise levels are considered moderate.

 

Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content.  This document supersedes all previous policies, procedures or guidelines pertaining to this subject.

 

Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.

Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.

 

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Pay
**For eligible Boot Barn Partners PAY RANGE: $100,000.00 - $130,000.00/yr* *compensation varies based on geography, skills, experience, and tenure
Location & working pattern

Irvine, CA, USA

Working pattern and location restrictions need checking in the full posting.

Work authorization

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